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Numbers of false positive PASMED’s relations according to the two annotators
| C1 | C2 | Both | Total | |
|---|---|---|---|---|
| Annotator A | 257 | 120 | 66 | 443 |
| Annotator B | 311 | 50 | 17 | 378 |
| Mean | 284 | 85 | 41.5 | 410.5 |
| 69.18% | 20.71% | 10.11% |
We have classified them into three types of errors: C1–false positives caused by incorrect entity extraction (criterion 1), C2–false positives caused by not presented explicitly by linguistic expressions (criterion 2), and Both–false positives due to both C1 and C2.
